arXiv (All)
open access
Dual-Hypergraph Indexing: Bridging Knowledge Islands for Multi-Hop Reasoning in Retrieval-Augmented Generation
While hypergraph-based Retrieval-Augmented Generation (RAG) effectively captures higher-order multi-entity correlations, existing paradigms treat extracted hyperedges as isolated factual assertions. This structural fragmentation engenders rigid "knowledge islands" that bottleneck multi-hop causal in
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Repair Before Reinforce: Context-Augmented Knowledge Graph Reasoning for Multi-Hop Question Answering#1000193
- Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)#999090
- Ground-Truth Subgraphs for Better Training and Evaluation of Knowledge Graph Augmented LLMs#1049699
- SE-GoS: Self-Evolving Graph-of-Skills for Skill Library at Scale#985600
- Making LLMs Truly Forget: Deep Unlearning by Searching, Selecting, and Severing Knowledge Paths#1128712
Record · ID 1064652
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive